

Replication files for "Analyzing International Organizations: How the Concepts We Use Affect the Answers We Get"
- Authors: Charles B. Roger and Sam S. Rowan
- Contact: croger@ibei.org and sam.rowan@concordia.ca
- Date: April 1, 2021


# Contents summary

In three folders,

1. -- code

---- Three Stata do-files to perform the analyses

---- 1A. Greenhill replication: greenhill_replication_2021_04.do
---- 1B. Mansfield and Pevehouse replication: mansfield_pevehouse_replication_2021_04.do
---- 1C. Bernauer et al. Replication: bkks_replication_2021_04.do
---- One R script to make plots: informals_rio_plots.R

2. -- data

---- An 'input' folder with all the original data that is called in

---- 2A. Greenhill replication data: greenhill_isq.dta
---- 2B. Mansfield and Pevehouse replication data: manspeve_jcr.dta
---- 2C. Bernauer replication data: bkks_bjps.dta
---- 2D. Correlates of War IGO v3 raw data: cow_v3.dta
---- 2E. Formal IOs only subset of COW IGO v3: formals_v3.dta
---- 2F. Informal IOs original data: informals_v3.dta
---- 2G. Summary information on the number of state-year level IO memberships, IOs joined, and IOs exited: summaries_v3.dta
---- 2H. Re-coded human rights IO context data for Greenhill replication: context_v3.dta

---- An 'output' folder that is empty, where tables and figures will be saved

3. -- text
---- A folder containing some written materials for the paper, appendix


# Notes

-- You will need to adjust the working directory to be the "Roger and Rowan RIO 2021" folder

-- In running the Stata do files, the code will create the three tables in-text and the appendix
: data/output/greenhill_table1_main.txt
: data/output/mp_table2_main.txt
: data/output/bkks_table3_main.txt

-- The Stata do file will also create three new .csv files with the standardized coefficients used to make appendix figure 3
: data/output/greenhill_esttab.csv
: data/output/mp_esttab.csv
: data/output/bkks_esttab.csv

-- The R script creates all the figures in ggplot
: data/output/figure1_iogrowth.pdf
: data/output/figure2_scatter.pdf
: data/output/figure_app1_iocontext.pdf
: data/output/figure_app2_joined.pdf
: data/output/figure_app3_standardized_coefplot.pdf

-- **** Special note for researchers using our informal IOs membership data in conjunction with the Correlates of War Formal Intergovernmental Organizations data ****

: The informal IOs membership data can be merged directly with the latest Correlates of War dataset of Formal Intergovernmental Organizations (v3)
: HOWEVER, some (42) informal IOs are included in COW v3 and need to be removed from the raw COW v3 dataset to avoid double counting
: You can do this yourself by dropping these IOs. But some of these IOs begin as informal IOs and are formalised, so you will need to correct these years in your analyses
: We recommend that you use our cleaned "formals only" version of COW v3, named 'formals_v3.dta' in the data/input folder, to ensure the IOs are consistent
: The informal IOs in COW v3 that you will need to correct are:
afspc, apec, asblac, asean, bef,
bsec, caarc, cab, catc, cbfp,
cbss, cei, cfatf, colombo, comsec,
cslf, cto, eipa, euramet, fatf,
g15, gatt, geo, ghsi, iacss,
iasaj, ichrb, icri, interpol, memtta,
mopan, nordc, ntsc, osce, pif, 
pipd, psi, sacep, swpd, vasab,
wcdc, welmec




